Regression Based Prediction Algorithm for Remote Controlling of IoT Based Applications

被引：0

作者：

Wagle, Satyavrat ^{[1
]}

Sathe, Tejas ^{[2
]}

Vamburkar, Gandhar ^{[2
]}

Gaikaiwari, Anand ^{[2
]}

机构：

[1] Vishwakarma Inst Technol, Dept Instrumentat & Control Engn, Pune, Maharashtra, India

[2] MAEERs MIT, Dept Comp Sci, Pune, Maharashtra, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTING AND NETWORK COMMUNICATIONS (COCONET) | 2015年

关键词：

Internet of Things; Artificial Intelligence; Predictive Algorithms;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The growing paradigm of Internet of Things (IoT), has necessitated the development of new and improved monitoring and control methodologies for applications which were hitherto subjected to the constraints of a local control system. This paper proposes a predictive system to monitor and control embedded applications linked to IoT. A brief introduction of Internet of Things and its resultant effects on control system design are discussed followed by an overview of regression systems. Next, we present a prototype model implementing a regression based control system model, and the inferences from the data it has generated on execution. Finally, we discuss the possible modifications and application areas of regression based processes in IoT.

引用

页码：299 / 303

页数：5

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